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<div class="title">SparseSelfAdjointView.h</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2009-2014 Gael Guennebaud &lt;gael.guennebaud@inria.fr&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#ifndef EIGEN_SPARSE_SELFADJOINTVIEW_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#define EIGEN_SPARSE_SELFADJOINTVIEW_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> { </div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;  </div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;  </div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> Mode&gt;</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">struct </span>traits&lt;SparseSelfAdjointView&lt;MatrixType,Mode&gt; &gt; : traits&lt;MatrixType&gt; {</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;};</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160; </div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> SrcMode,<span class="keywordtype">int</span> DstMode,<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> DestOrder&gt;</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keywordtype">void</span> permute_symm_to_symm(<span class="keyword">const</span> MatrixType&amp; mat, SparseMatrix&lt;typename MatrixType::Scalar,DestOrder,typename MatrixType::StorageIndex&gt;&amp; _dest, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::StorageIndex* perm = 0);</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160; </div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> Mode,<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> DestOrder&gt;</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keywordtype">void</span> permute_symm_to_fullsymm(<span class="keyword">const</span> MatrixType&amp; mat, SparseMatrix&lt;typename MatrixType::Scalar,DestOrder,typename MatrixType::StorageIndex&gt;&amp; _dest, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::StorageIndex* perm = 0);</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160; </div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;}</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160; </div>
<div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html">   45</a></span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> Mode_&gt; <span class="keyword">class </span><a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  : <span class="keyword">public</span> <a class="code" href="structEigen_1_1EigenBase.html">EigenBase</a>&lt;SparseSelfAdjointView&lt;MatrixType,Mode_&gt; &gt;</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;{</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    </div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;      Mode = Mode_,</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;      TransposeMode = ((Mode &amp; <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>) ? <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a> : 0) | ((Mode &amp; <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) ? <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a> : 0),</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;      RowsAtCompileTime = internal::traits&lt;SparseSelfAdjointView&gt;::RowsAtCompileTime,</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;      ColsAtCompileTime = internal::traits&lt;SparseSelfAdjointView&gt;::ColsAtCompileTime</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    };</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160; </div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keyword">typedef</span> <a class="code" href="structEigen_1_1EigenBase.html">EigenBase&lt;SparseSelfAdjointView&gt;</a> <a class="code" href="structEigen_1_1EigenBase.html">Base</a>;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::StorageIndex StorageIndex;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keyword">typedef</span> <a class="code" href="classEigen_1_1Matrix.html">Matrix&lt;StorageIndex,Dynamic,1&gt;</a> <a class="code" href="classEigen_1_1Matrix.html">VectorI</a>;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::ref_selector&lt;MatrixType&gt;::non_const_type MatrixTypeNested;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keyword">typedef</span> internal::remove_all_t&lt;MatrixTypeNested&gt; MatrixTypeNested_;</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    </div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keyword">explicit</span> <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>(MatrixType&amp; matrix) : m_matrix(matrix)</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    {</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;      eigen_assert(rows()==cols() &amp;&amp; <span class="stringliteral">&quot;SelfAdjointView is only for squared matrices&quot;</span>);</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    }</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160; </div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    <span class="keyword">inline</span> <a class="code" href="structEigen_1_1EigenBase.html#a554f30542cc2316add4b1ea0a492ff02">Index</a> rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix.rows(); }</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keyword">inline</span> <a class="code" href="structEigen_1_1EigenBase.html#a554f30542cc2316add4b1ea0a492ff02">Index</a> cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix.cols(); }</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160; </div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <span class="keyword">const</span> MatrixTypeNested_&amp; matrix()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix; }</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    std::remove_reference_t&lt;MatrixTypeNested&gt;&amp; matrix() { <span class="keywordflow">return</span> m_matrix; }</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160; </div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <a class="code" href="classEigen_1_1Product.html">Product&lt;SparseSelfAdjointView, OtherDerived&gt;</a></div>
<div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#a21a771d5074900136c92f62ab179bc5e">   83</a></span>&#160;    <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a21a771d5074900136c92f62ab179bc5e">operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase&lt;OtherDerived&gt;</a>&amp; rhs)<span class="keyword"> const</span></div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;      <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Product.html">Product&lt;SparseSelfAdjointView, OtherDerived&gt;</a>(*<span class="keyword">this</span>, rhs.<a class="code" href="structEigen_1_1EigenBase.html#a1fbabe7f12bcbfba3b9a448b1f5e46fa">derived</a>());</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    }</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160; </div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt; <span class="keyword">friend</span></div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <a class="code" href="classEigen_1_1Product.html">Product&lt;OtherDerived, SparseSelfAdjointView&gt;</a></div>
<div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#a9bbe41a5c050f8067d4fe77372eb0b7a">   95</a></span>&#160;    <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a9bbe41a5c050f8067d4fe77372eb0b7a">operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase&lt;OtherDerived&gt;</a>&amp; lhs, <span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>&amp; rhs)</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    {</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;      <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Product.html">Product&lt;OtherDerived, SparseSelfAdjointView&gt;</a>(lhs.<a class="code" href="structEigen_1_1EigenBase.html#a1fbabe7f12bcbfba3b9a448b1f5e46fa">derived</a>(), rhs);</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    }</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    </div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <a class="code" href="classEigen_1_1Product.html">Product&lt;SparseSelfAdjointView,OtherDerived&gt;</a></div>
<div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#af5745a6fe741b0a2091c02fa0779065d">  103</a></span>&#160;    <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#af5745a6fe741b0a2091c02fa0779065d">operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1MatrixBase.html">MatrixBase&lt;OtherDerived&gt;</a>&amp; rhs)<span class="keyword"> const</span></div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;      <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Product.html">Product&lt;SparseSelfAdjointView,OtherDerived&gt;</a>(*<span class="keyword">this</span>, rhs.<a class="code" href="classEigen_1_1DenseCoeffsBase_3_01Derived_00_01DirectWriteAccessors_01_4.html#a1fbabe7f12bcbfba3b9a448b1f5e46fa">derived</a>());</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    }</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt; <span class="keyword">friend</span></div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <a class="code" href="classEigen_1_1Product.html">Product&lt;OtherDerived,SparseSelfAdjointView&gt;</a></div>
<div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#a346ad7b3c5c8769c0fe29ae9e921b429">  111</a></span>&#160;    <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a346ad7b3c5c8769c0fe29ae9e921b429">operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1MatrixBase.html">MatrixBase&lt;OtherDerived&gt;</a>&amp; lhs, <span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>&amp; rhs)</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    {</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;      <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Product.html">Product&lt;OtherDerived,SparseSelfAdjointView&gt;</a>(lhs.<a class="code" href="classEigen_1_1DenseCoeffsBase_3_01Derived_00_01DirectWriteAccessors_01_4.html#a1fbabe7f12bcbfba3b9a448b1f5e46fa">derived</a>(), rhs);</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    }</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160; </div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DerivedU&gt;</div>
<div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#a843bdc3844b4b9f5bc2daa84520d7bb7">  125</a></span>&#160;    <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>&amp; <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a843bdc3844b4b9f5bc2daa84520d7bb7">rankUpdate</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase&lt;DerivedU&gt;</a>&amp; u, <span class="keyword">const</span> Scalar&amp; alpha = Scalar(1));</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    </div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="comment">// TODO implement twists in a more evaluator friendly fashion</span></div>
<div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#ac37727df4143754952272c64d081925f">  129</a></span>&#160;    SparseSymmetricPermutationProduct&lt;MatrixTypeNested_,Mode&gt; <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#ac37727df4143754952272c64d081925f">twistedBy</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1PermutationMatrix.html">PermutationMatrix&lt;Dynamic,Dynamic,StorageIndex&gt;</a>&amp; perm)<span class="keyword"> const</span></div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;      <span class="keywordflow">return</span> SparseSymmetricPermutationProduct&lt;MatrixTypeNested_,Mode&gt;(m_matrix, perm);</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    }</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160; </div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> SrcMatrixType,<span class="keywordtype">int</span> SrcMode&gt;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>&amp; operator=(<span class="keyword">const</span> SparseSymmetricPermutationProduct&lt;SrcMatrixType,SrcMode&gt;&amp; permutedMatrix)</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    {</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;      internal::call_assignment_no_alias_no_transpose(*<span class="keyword">this</span>, permutedMatrix);</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;      <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    }</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160; </div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    SparseSelfAdjointView&amp; operator=(<span class="keyword">const</span> SparseSelfAdjointView&amp; src)</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    {</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;      PermutationMatrix&lt;Dynamic,Dynamic,StorageIndex&gt; pnull;</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;      <span class="keywordflow">return</span> *<span class="keyword">this</span> = src.twistedBy(pnull);</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    }</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160; </div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    <span class="comment">// Since we override the copy-assignment operator, we need to explicitly re-declare the copy-constructor</span></div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    EIGEN_DEFAULT_COPY_CONSTRUCTOR(SparseSelfAdjointView)</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160; </div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> SrcMatrixType,<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> SrcMode&gt;</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    SparseSelfAdjointView&amp; operator=(<span class="keyword">const</span> SparseSelfAdjointView&lt;SrcMatrixType,SrcMode&gt;&amp; src)</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    {</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;      PermutationMatrix&lt;Dynamic,Dynamic,StorageIndex&gt; pnull;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;      <span class="keywordflow">return</span> *<span class="keyword">this</span> = src.twistedBy(pnull);</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    }</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    </div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <span class="keywordtype">void</span> resize(<a class="code" href="structEigen_1_1EigenBase.html#a554f30542cc2316add4b1ea0a492ff02">Index</a> rows, <a class="code" href="structEigen_1_1EigenBase.html#a554f30542cc2316add4b1ea0a492ff02">Index</a> cols)</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    {</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;      EIGEN_ONLY_USED_FOR_DEBUG(rows);</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;      EIGEN_ONLY_USED_FOR_DEBUG(cols);</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;      eigen_assert(rows == this-&gt;rows() &amp;&amp; cols == this-&gt;cols()</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                &amp;&amp; <span class="stringliteral">&quot;SparseSelfadjointView::resize() does not actually allow to resize.&quot;</span>);</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    }</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    </div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160; </div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    MatrixTypeNested m_matrix;</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="comment">//mutable VectorI m_countPerRow;</span></div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <span class="comment">//mutable VectorI m_countPerCol;</span></div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt; <span class="keywordtype">void</span> evalTo(Dest &amp;) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;};</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160; </div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;<span class="comment">* Implementation of SparseMatrixBase methods</span></div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160; </div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo&gt;</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;<span class="keyword">typename</span> SparseMatrixBase&lt;Derived&gt;::template ConstSelfAdjointViewReturnType&lt;UpLo&gt;::Type SparseMatrixBase&lt;Derived&gt;::selfadjointView()<span class="keyword"> const</span></div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  <span class="keywordflow">return</span> SparseSelfAdjointView&lt;const Derived, UpLo&gt;(derived());</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;}</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160; </div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo&gt;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;<span class="keyword">typename</span> SparseMatrixBase&lt;Derived&gt;::template SelfAdjointViewReturnType&lt;UpLo&gt;::Type SparseMatrixBase&lt;Derived&gt;::selfadjointView()</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;{</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  <span class="keywordflow">return</span> SparseSelfAdjointView&lt;Derived, UpLo&gt;(derived());</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;}</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160; </div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;<span class="comment">* Implementation of SparseSelfAdjointView methods</span></div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160; </div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> Mode&gt;</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> DerivedU&gt;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;SparseSelfAdjointView&lt;MatrixType,Mode&gt;&amp;</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;<a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a843bdc3844b4b9f5bc2daa84520d7bb7">SparseSelfAdjointView&lt;MatrixType,Mode&gt;::rankUpdate</a>(<span class="keyword">const</span> SparseMatrixBase&lt;DerivedU&gt;&amp; u, <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;{</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;  SparseMatrix&lt;Scalar,(MatrixType::Flags&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>)?<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>:<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>&gt; tmp = u * u.adjoint();</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;  <span class="keywordflow">if</span>(alpha==Scalar(0))</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    m_matrix = tmp.template triangularView&lt;Mode&gt;();</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    m_matrix += alpha * tmp.template triangularView&lt;Mode&gt;();</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160; </div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;}</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160; </div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  </div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;<span class="comment">// TODO currently a selfadjoint expression has the form SelfAdjointView&lt;.,.&gt;</span></div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;<span class="comment">//      in the future selfadjoint-ness should be defined by the expression traits</span></div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;<span class="comment">//      such that Transpose&lt;SelfAdjointView&lt;.,.&gt; &gt; is valid. (currently TriangularBase::transpose() is overloaded to make it work)</span></div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> Mode&gt;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;<span class="keyword">struct </span>evaluator_traits&lt;SparseSelfAdjointView&lt;MatrixType,Mode&gt; &gt;</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;{</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> storage_kind_to_evaluator_kind&lt;typename MatrixType::StorageKind&gt;::Kind Kind;</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;  <span class="keyword">typedef</span> SparseSelfAdjointShape Shape;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;};</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160; </div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;<span class="keyword">struct </span>SparseSelfAdjoint2Sparse {};</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160; </div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;<span class="keyword">template</span>&lt;&gt; <span class="keyword">struct </span>AssignmentKind&lt;SparseShape,SparseSelfAdjointShape&gt; { <span class="keyword">typedef</span> SparseSelfAdjoint2Sparse Kind; };</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;<span class="keyword">template</span>&lt;&gt; <span class="keyword">struct </span>AssignmentKind&lt;SparseSelfAdjointShape,SparseShape&gt; { <span class="keyword">typedef</span> Sparse2Sparse Kind; };</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160; </div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> SrcXprType, <span class="keyword">typename</span> Functor&gt;</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, SrcXprType, Functor, SparseSelfAdjoint2Sparse&gt;</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;{</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> DstXprType::StorageIndex StorageIndex;</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  <span class="keyword">typedef</span> internal::assign_op&lt;typename DstXprType::Scalar,typename SrcXprType::Scalar&gt; AssignOpType;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160; </div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DestScalar,<span class="keywordtype">int</span> StorageOrder&gt;</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrix&lt;DestScalar,StorageOrder,StorageIndex&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> AssignOpType&amp;<span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;  {</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    internal::permute_symm_to_fullsymm&lt;SrcXprType::Mode&gt;(src.matrix(), dst);</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;  }</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160; </div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;  <span class="comment">// FIXME: the handling of += and -= in sparse matrices should be cleanup so that next two overloads could be reduced to:</span></div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DestScalar,<span class="keywordtype">int</span> StorageOrder,<span class="keyword">typename</span> AssignFunc&gt;</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrix&lt;DestScalar,StorageOrder,StorageIndex&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> AssignFunc&amp; func)</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  {</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    SparseMatrix&lt;DestScalar,StorageOrder,StorageIndex&gt; tmp(src.rows(),src.cols());</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    run(tmp, src, AssignOpType());</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    call_assignment_no_alias_no_transpose(dst, tmp, func);</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;  }</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160; </div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DestScalar,<span class="keywordtype">int</span> StorageOrder&gt;</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrix&lt;DestScalar,StorageOrder,StorageIndex&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src,</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;                  <span class="keyword">const</span> internal::add_assign_op&lt;typename DstXprType::Scalar,typename SrcXprType::Scalar&gt;&amp; <span class="comment">/* func */</span>)</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;  {</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    SparseMatrix&lt;DestScalar,StorageOrder,StorageIndex&gt; tmp(src.rows(),src.cols());</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    run(tmp, src, AssignOpType());</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    dst += tmp;</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;  }</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160; </div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DestScalar,<span class="keywordtype">int</span> StorageOrder&gt;</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrix&lt;DestScalar,StorageOrder,StorageIndex&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src,</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;                  <span class="keyword">const</span> internal::sub_assign_op&lt;typename DstXprType::Scalar,typename SrcXprType::Scalar&gt;&amp; <span class="comment">/* func */</span>)</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;  {</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    SparseMatrix&lt;DestScalar,StorageOrder,StorageIndex&gt; tmp(src.rows(),src.cols());</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    run(tmp, src, AssignOpType());</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;    dst -= tmp;</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;  }</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;};</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160; </div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;} <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160; </div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;<span class="comment">* Implementation of sparse self-adjoint time dense matrix</span></div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160; </div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160; </div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> Mode, <span class="keyword">typename</span> SparseLhsType, <span class="keyword">typename</span> DenseRhsType, <span class="keyword">typename</span> DenseResType, <span class="keyword">typename</span> AlphaType&gt;</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> sparse_selfadjoint_time_dense_product(<span class="keyword">const</span> SparseLhsType&amp; lhs, <span class="keyword">const</span> DenseRhsType&amp; rhs, DenseResType&amp; res, <span class="keyword">const</span> AlphaType&amp; alpha)</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;{</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  EIGEN_ONLY_USED_FOR_DEBUG(alpha);</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;  </div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::nested_eval&lt;SparseLhsType,DenseRhsType::MaxColsAtCompileTime&gt;::type SparseLhsTypeNested;</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;  <span class="keyword">typedef</span> internal::remove_all_t&lt;SparseLhsTypeNested&gt; SparseLhsTypeNestedCleaned;</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;SparseLhsTypeNestedCleaned&gt; LhsEval;</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> LhsEval::InnerIterator LhsIterator;</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> SparseLhsType::Scalar LhsScalar;</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;  </div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;    LhsIsRowMajor = (LhsEval::Flags&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>)==<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>,</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    ProcessFirstHalf =</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;              ((Mode&amp;(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>|<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>))==(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>|<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>))</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;          || ( (Mode&amp;<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>) &amp;&amp; !LhsIsRowMajor)</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;          || ( (Mode&amp;<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) &amp;&amp; LhsIsRowMajor),</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;    ProcessSecondHalf = !ProcessFirstHalf</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;  };</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;  </div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;  SparseLhsTypeNested lhs_nested(lhs);</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;  LhsEval lhsEval(lhs_nested);</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160; </div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;  <span class="comment">// work on one column at once</span></div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;  <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k=0; k&lt;rhs.cols(); ++k)</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;  {</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;    <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;lhs.outerSize(); ++j)</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    {</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;      LhsIterator i(lhsEval,j);</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;      <span class="comment">// handle diagonal coeff</span></div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;      <span class="keywordflow">if</span> (ProcessSecondHalf)</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;      {</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;        <span class="keywordflow">while</span> (i &amp;&amp; i.index()&lt;j) ++i;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;        <span class="keywordflow">if</span>(i &amp;&amp; i.index()==j)</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        {</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;          res.coeffRef(j,k) += alpha * i.value() * rhs.coeff(j,k);</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;          ++i;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;        }</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;      }</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160; </div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;      <span class="comment">// premultiplied rhs for scatters</span></div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;      <span class="keyword">typename</span> ScalarBinaryOpTraits&lt;AlphaType, typename DenseRhsType::Scalar&gt;::ReturnType rhs_j(alpha*rhs(j,k));</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;      <span class="comment">// accumulator for partial scalar product</span></div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;      <span class="keyword">typename</span> DenseResType::Scalar res_j(0);</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;      <span class="keywordflow">for</span>(; (ProcessFirstHalf ? i &amp;&amp; i.index() &lt; j : i) ; ++i)</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;      {</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;        LhsScalar lhs_ij = i.value();</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;        <span class="keywordflow">if</span>(!LhsIsRowMajor) lhs_ij = numext::conj(lhs_ij);</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;        res_j += lhs_ij * rhs.coeff(i.index(),k);</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;        res(i.index(),k) += numext::conj(lhs_ij) * rhs_j;</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;      }</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;      res.coeffRef(j,k) += alpha * res_j;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160; </div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;      <span class="comment">// handle diagonal coeff</span></div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;      <span class="keywordflow">if</span> (ProcessFirstHalf &amp;&amp; i &amp;&amp; (i.index()==j))</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;        res.coeffRef(j,k) += alpha * i.value() * rhs.coeff(j,k);</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    }</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;  }</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;}</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160; </div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160; </div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> LhsView, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductType&gt;</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;LhsView, Rhs, SparseSelfAdjointShape, DenseShape, ProductType&gt;</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;: generic_product_impl_base&lt;LhsView, Rhs, generic_product_impl&lt;LhsView, Rhs, SparseSelfAdjointShape, DenseShape, ProductType&gt; &gt;</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;{</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> scaleAndAddTo(Dest&amp; dst, <span class="keyword">const</span> LhsView&amp; lhsView, <span class="keyword">const</span> Rhs&amp; rhs, <span class="keyword">const</span> <span class="keyword">typename</span> Dest::Scalar&amp; alpha)</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;  {</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> LhsView::MatrixTypeNested_ Lhs;</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> nested_eval&lt;Lhs,Dynamic&gt;::type LhsNested;</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> nested_eval&lt;Rhs,Dynamic&gt;::type RhsNested;</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;    LhsNested lhsNested(lhsView.matrix());</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    RhsNested rhsNested(rhs);</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;    </div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;    internal::sparse_selfadjoint_time_dense_product&lt;LhsView::Mode&gt;(lhsNested, rhsNested, dst, alpha);</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  }</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;};</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160; </div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> RhsView, <span class="keywordtype">int</span> ProductType&gt;</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;<span class="keyword">struct </span>generic_product_impl&lt;Lhs, RhsView, DenseShape, SparseSelfAdjointShape, ProductType&gt;</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;: generic_product_impl_base&lt;Lhs, RhsView, generic_product_impl&lt;Lhs, RhsView, DenseShape, SparseSelfAdjointShape, ProductType&gt; &gt;</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;{</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt;</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> scaleAndAddTo(Dest&amp; dst, <span class="keyword">const</span> Lhs&amp; lhs, <span class="keyword">const</span> RhsView&amp; rhsView, <span class="keyword">const</span> <span class="keyword">typename</span> Dest::Scalar&amp; alpha)</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;  {</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> RhsView::MatrixTypeNested_ Rhs;</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> nested_eval&lt;Lhs,Dynamic&gt;::type LhsNested;</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> nested_eval&lt;Rhs,Dynamic&gt;::type RhsNested;</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;    LhsNested lhsNested(lhs);</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;    RhsNested rhsNested(rhsView.matrix());</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;    </div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    <span class="comment">// transpose everything</span></div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;    Transpose&lt;Dest&gt; dstT(dst);</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;    internal::sparse_selfadjoint_time_dense_product&lt;RhsView::TransposeMode&gt;(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;  }</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;};</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160; </div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;<span class="comment">// NOTE: these two overloads are needed to evaluate the sparse selfadjoint view into a full sparse matrix</span></div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;<span class="comment">// TODO: maybe the copy could be handled by generic_product_impl so that these overloads would not be needed anymore</span></div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160; </div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> LhsView, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;<span class="keyword">struct </span>product_evaluator&lt;Product&lt;LhsView, Rhs, DefaultProduct&gt;, ProductTag, SparseSelfAdjointShape, SparseShape&gt;</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;  : <span class="keyword">public</span> evaluator&lt;typename Product&lt;typename Rhs::PlainObject, Rhs, DefaultProduct&gt;::PlainObject&gt;</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;{</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;  <span class="keyword">typedef</span> Product&lt;LhsView, Rhs, DefaultProduct&gt; XprType;</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::PlainObject PlainObject;</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;PlainObject&gt; Base;</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160; </div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;  product_evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;    : m_lhs(xpr.lhs()), m_result(xpr.rows(), xpr.cols())</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;  {</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    internal::construct_at&lt;Base&gt;(<span class="keyword">this</span>, m_result);</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;    generic_product_impl&lt;typename Rhs::PlainObject, Rhs, SparseShape, SparseShape, ProductTag&gt;::evalTo(m_result, m_lhs, xpr.rhs());</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;  }</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;  </div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;  <span class="keyword">typename</span> Rhs::PlainObject m_lhs;</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;  PlainObject m_result;</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;};</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160; </div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> RhsView, <span class="keywordtype">int</span> ProductTag&gt;</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;<span class="keyword">struct </span>product_evaluator&lt;Product&lt;Lhs, RhsView, DefaultProduct&gt;, ProductTag, SparseShape, SparseSelfAdjointShape&gt;</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;  : <span class="keyword">public</span> evaluator&lt;typename Product&lt;Lhs, typename Lhs::PlainObject, DefaultProduct&gt;::PlainObject&gt;</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;{</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;  <span class="keyword">typedef</span> Product&lt;Lhs, RhsView, DefaultProduct&gt; XprType;</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::PlainObject PlainObject;</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;PlainObject&gt; Base;</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160; </div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;  product_evaluator(<span class="keyword">const</span> XprType&amp; xpr)</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;    : m_rhs(xpr.rhs()), m_result(xpr.rows(), xpr.cols())</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;  {</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;    ::new (<span class="keyword">static_cast&lt;</span>Base*<span class="keyword">&gt;</span>(<span class="keyword">this</span>)) Base(m_result);</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;    generic_product_impl&lt;Lhs, typename Lhs::PlainObject, SparseShape, SparseShape, ProductTag&gt;::evalTo(m_result, xpr.lhs(), m_rhs);</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;  }</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;  </div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;protected:</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;  typename Lhs::PlainObject m_rhs;</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;  PlainObject m_result;</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;};</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160; </div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;} <span class="comment">// namespace internal</span></div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160; </div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;<span class="comment">* Implementation of symmetric copies and permutations</span></div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;namespace internal {</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160; </div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> Mode,<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> DestOrder&gt;</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;<span class="keywordtype">void</span> permute_symm_to_fullsymm(<span class="keyword">const</span> MatrixType&amp; mat, SparseMatrix&lt;typename MatrixType::Scalar,DestOrder,typename MatrixType::StorageIndex&gt;&amp; _dest, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::StorageIndex* perm)</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;{</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::StorageIndex StorageIndex;</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;  <span class="keyword">typedef</span> SparseMatrix&lt;Scalar,DestOrder,StorageIndex&gt; Dest;</div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;  <span class="keyword">typedef</span> Matrix&lt;StorageIndex,Dynamic,1&gt; VectorI;</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;MatrixType&gt; MatEval;</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> evaluator&lt;MatrixType&gt;::InnerIterator MatIterator;</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;  </div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;  MatEval matEval(mat);</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;  Dest&amp; dest(_dest.derived());</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;    StorageOrderMatch = int(Dest::IsRowMajor) == int(MatrixType::IsRowMajor)</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;  };</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;  </div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;  <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> size = mat.rows();</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;  VectorI count;</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;  count.resize(size);</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;  count.setZero();</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;  dest.resize(size,size);</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;  <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j = 0; j&lt;size; ++j)</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;  {</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;    <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> jp = perm ? perm[j] : j;</div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;    <span class="keywordflow">for</span>(MatIterator it(matEval,j); it; ++it)</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;    {</div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = it.index();</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> r = it.row();</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> c = it.col();</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> ip = perm ? perm[i] : i;</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;      <span class="keywordflow">if</span>(Mode==<span class="keywordtype">int</span>(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>|<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>))</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;        count[StorageOrderMatch ? jp : ip]++;</div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;      <span class="keywordflow">else</span> <span class="keywordflow">if</span>(r==c)</div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;        count[ip]++;</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;      <span class="keywordflow">else</span> <span class="keywordflow">if</span>(( Mode==<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a> &amp;&amp; r&gt;c) || ( Mode==<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a> &amp;&amp; r&lt;c))</div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;      {</div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;        count[ip]++;</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;        count[jp]++;</div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;      }</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;    }</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;  }</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;  <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> nnz = count.sum();</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;  </div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;  <span class="comment">// reserve space</span></div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;  dest.resizeNonZeros(nnz);</div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;  dest.outerIndexPtr()[0] = 0;</div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;  <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;size; ++j)</div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;    dest.outerIndexPtr()[j+1] = dest.outerIndexPtr()[j] + count[j];</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;  <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;size; ++j)</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    count[j] = dest.outerIndexPtr()[j];</div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;  </div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;  <span class="comment">// copy data</span></div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;  <span class="keywordflow">for</span>(StorageIndex j = 0; j&lt;size; ++j)</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;  {</div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;    <span class="keywordflow">for</span>(MatIterator it(matEval,j); it; ++it)</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;    {</div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;      StorageIndex i = internal::convert_index&lt;StorageIndex&gt;(it.index());</div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> r = it.row();</div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> c = it.col();</div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;      </div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;      StorageIndex jp = perm ? perm[j] : j;</div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;      StorageIndex ip = perm ? perm[i] : i;</div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;      </div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;      <span class="keywordflow">if</span>(Mode==<span class="keywordtype">int</span>(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>|<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>))</div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;      {</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;        <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k = count[StorageOrderMatch ? jp : ip]++;</div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;        dest.innerIndexPtr()[k] = StorageOrderMatch ? ip : jp;</div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;        dest.valuePtr()[k] = it.value();</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;      }</div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;      <span class="keywordflow">else</span> <span class="keywordflow">if</span>(r==c)</div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;      {</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;        <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k = count[ip]++;</div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;        dest.innerIndexPtr()[k] = ip;</div>
<div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;        dest.valuePtr()[k] = it.value();</div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;      }</div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;      <span class="keywordflow">else</span> <span class="keywordflow">if</span>(( (Mode&amp;<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>)==<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a> &amp;&amp; r&gt;c) || ( (Mode&amp;<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>)==<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a> &amp;&amp; r&lt;c))</div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;      {</div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;        <span class="keywordflow">if</span>(!StorageOrderMatch)</div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;          std::swap(ip,jp);</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;        <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k = count[jp]++;</div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;        dest.innerIndexPtr()[k] = ip;</div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;        dest.valuePtr()[k] = it.value();</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;        k = count[ip]++;</div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;        dest.innerIndexPtr()[k] = jp;</div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;        dest.valuePtr()[k] = numext::conj(it.value());</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;      }</div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;    }</div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;  }</div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;}</div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160; </div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> SrcMode_,<span class="keywordtype">int</span> DstMode_,<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> DstOrder&gt;</div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;<span class="keywordtype">void</span> permute_symm_to_symm(<span class="keyword">const</span> MatrixType&amp; mat, SparseMatrix&lt;typename MatrixType::Scalar,DstOrder,typename MatrixType::StorageIndex&gt;&amp; _dest, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::StorageIndex* perm)</div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;{</div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::StorageIndex StorageIndex;</div>
<div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;  SparseMatrix&lt;Scalar,DstOrder,StorageIndex&gt;&amp; dest(_dest.derived());</div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;  <span class="keyword">typedef</span> Matrix&lt;StorageIndex,Dynamic,1&gt; VectorI;</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;  <span class="keyword">typedef</span> evaluator&lt;MatrixType&gt; MatEval;</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> evaluator&lt;MatrixType&gt;::InnerIterator MatIterator;</div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160; </div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;    SrcOrder = MatrixType::IsRowMajor ? <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> : <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>,</div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;    StorageOrderMatch = int(SrcOrder) == int(DstOrder),</div>
<div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;    DstMode = DstOrder==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> ? (DstMode_==<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a> ? <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a> : <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>) : DstMode_,</div>
<div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;    SrcMode = SrcOrder==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> ? (SrcMode_==<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a> ? <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a> : <a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>) : SrcMode_</div>
<div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;  };</div>
<div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160; </div>
<div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;  MatEval matEval(mat);</div>
<div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;  </div>
<div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;  <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> size = mat.rows();</div>
<div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;  VectorI count(size);</div>
<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;  count.setZero();</div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;  dest.resize(size,size);</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;  <span class="keywordflow">for</span>(StorageIndex j = 0; j&lt;size; ++j)</div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;  {</div>
<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;    StorageIndex jp = perm ? perm[j] : j;</div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;    <span class="keywordflow">for</span>(MatIterator it(matEval,j); it; ++it)</div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;    {</div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;      StorageIndex i = it.index();</div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;      <span class="keywordflow">if</span>((<span class="keywordtype">int</span>(SrcMode)==<span class="keywordtype">int</span>(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) &amp;&amp; i&lt;j) || (<span class="keywordtype">int</span>(SrcMode)==<span class="keywordtype">int</span>(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>) &amp;&amp; i&gt;j))</div>
<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;        <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;                  </div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;      StorageIndex ip = perm ? perm[i] : i;</div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;      count[int(DstMode)==int(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) ? (std::min)(ip,jp) : (std::max)(ip,jp)]++;</div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;    }</div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;  }</div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;  dest.outerIndexPtr()[0] = 0;</div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;  <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;size; ++j)</div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;    dest.outerIndexPtr()[j+1] = dest.outerIndexPtr()[j] + count[j];</div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;  dest.resizeNonZeros(dest.outerIndexPtr()[size]);</div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;  <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;size; ++j)</div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;    count[j] = dest.outerIndexPtr()[j];</div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;  </div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;  <span class="keywordflow">for</span>(StorageIndex j = 0; j&lt;size; ++j)</div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;  {</div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;    </div>
<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;    <span class="keywordflow">for</span>(MatIterator it(matEval,j); it; ++it)</div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;    {</div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;      StorageIndex i = it.index();</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;      <span class="keywordflow">if</span>((<span class="keywordtype">int</span>(SrcMode)==int(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) &amp;&amp; i&lt;j) || (<span class="keywordtype">int</span>(SrcMode)==int(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>) &amp;&amp; i&gt;j))</div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;        <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;                  </div>
<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;      StorageIndex jp = perm ? perm[j] : j;</div>
<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;      StorageIndex ip = perm? perm[i] : i;</div>
<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;      </div>
<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> k = count[int(DstMode)==int(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) ? (std::min)(ip,jp) : (std::max)(ip,jp)]++;</div>
<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;      dest.innerIndexPtr()[k] = int(DstMode)==int(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) ? (std::max)(ip,jp) : (std::min)(ip,jp);</div>
<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;      </div>
<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;      <span class="keywordflow">if</span>(!StorageOrderMatch) std::swap(ip,jp);</div>
<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;      <span class="keywordflow">if</span>( ((<span class="keywordtype">int</span>(DstMode)==<span class="keywordtype">int</span>(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) &amp;&amp; ip&lt;jp) || (<span class="keywordtype">int</span>(DstMode)==<span class="keywordtype">int</span>(<a class="code" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>) &amp;&amp; ip&gt;jp)))</div>
<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;        dest.valuePtr()[k] = numext::conj(it.value());</div>
<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;      <span class="keywordflow">else</span></div>
<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;        dest.valuePtr()[k] = it.value();</div>
<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;    }</div>
<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;  }</div>
<div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;}</div>
<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160; </div>
<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;}</div>
<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160; </div>
<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;<span class="comment">// TODO implement twists in a more evaluator friendly fashion</span></div>
<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160; </div>
<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160; </div>
<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> Mode&gt;</div>
<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;<span class="keyword">struct </span>traits&lt;SparseSymmetricPermutationProduct&lt;MatrixType,Mode&gt; &gt; : traits&lt;MatrixType&gt; {</div>
<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;};</div>
<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160; </div>
<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;}</div>
<div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160; </div>
<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> Mode&gt;</div>
<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;<span class="keyword">class </span>SparseSymmetricPermutationProduct</div>
<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;  : <span class="keyword">public</span> EigenBase&lt;SparseSymmetricPermutationProduct&lt;MatrixType,Mode&gt; &gt;</div>
<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;{</div>
<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::StorageIndex StorageIndex;</div>
<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;    <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;      RowsAtCompileTime = internal::traits&lt;SparseSymmetricPermutationProduct&gt;::RowsAtCompileTime,</div>
<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;      ColsAtCompileTime = internal::traits&lt;SparseSymmetricPermutationProduct&gt;::ColsAtCompileTime</div>
<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;    };</div>
<div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;    <span class="keyword">typedef</span> PermutationMatrix&lt;Dynamic,Dynamic,StorageIndex&gt; Perm;</div>
<div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;    <span class="keyword">typedef</span> Matrix&lt;StorageIndex,Dynamic,1&gt; VectorI;</div>
<div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Nested MatrixTypeNested;</div>
<div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;    <span class="keyword">typedef</span> internal::remove_all_t&lt;MatrixTypeNested&gt; NestedExpression;</div>
<div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;    </div>
<div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;    SparseSymmetricPermutationProduct(<span class="keyword">const</span> MatrixType&amp; mat, <span class="keyword">const</span> Perm&amp; perm)</div>
<div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;      : m_matrix(mat), m_perm(perm)</div>
<div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;    {}</div>
<div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;    </div>
<div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;    <span class="keyword">inline</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix.rows(); }</div>
<div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;    <span class="keyword">inline</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix.cols(); }</div>
<div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;        </div>
<div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;    <span class="keyword">const</span> NestedExpression&amp; matrix()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix; }</div>
<div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;    <span class="keyword">const</span> Perm&amp; perm()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_perm; }</div>
<div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    </div>
<div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;    MatrixTypeNested m_matrix;</div>
<div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;    <span class="keyword">const</span> Perm&amp; m_perm;</div>
<div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160; </div>
<div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;};</div>
<div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160; </div>
<div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;  </div>
<div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> Mode, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, SparseSymmetricPermutationProduct&lt;MatrixType,Mode&gt;, internal::assign_op&lt;Scalar,typename MatrixType::Scalar&gt;, Sparse2Sparse&gt;</div>
<div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;{</div>
<div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;  <span class="keyword">typedef</span> SparseSymmetricPermutationProduct&lt;MatrixType,Mode&gt; SrcXprType;</div>
<div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> DstXprType::StorageIndex DstIndex;</div>
<div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> Options&gt;</div>
<div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrix&lt;Scalar,Options,DstIndex&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::assign_op&lt;Scalar,typename MatrixType::Scalar&gt; &amp;)</div>
<div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160;  {</div>
<div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;    <span class="comment">// internal::permute_symm_to_fullsymm&lt;Mode&gt;(m_matrix,_dest,m_perm.indices().data());</span></div>
<div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;    SparseMatrix&lt;Scalar,(Options&amp;<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>)==<a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> ? <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a> : <a class="code" href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>, DstIndex&gt; tmp;</div>
<div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;    internal::permute_symm_to_fullsymm&lt;Mode&gt;(src.matrix(),tmp,src.perm().indices().data());</div>
<div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;    dst = tmp;</div>
<div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;  }</div>
<div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;  </div>
<div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DestType,<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> DestMode&gt;</div>
<div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseSelfAdjointView&lt;DestType,DestMode&gt;&amp; dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::assign_op&lt;Scalar,typename MatrixType::Scalar&gt; &amp;)</div>
<div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160;  {</div>
<div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;    internal::permute_symm_to_symm&lt;Mode,DestMode&gt;(src.matrix(),dst.matrix(),src.perm().indices().data());</div>
<div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;  }</div>
<div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;};</div>
<div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160; </div>
<div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160;} <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160; </div>
<div class="line"><a name="l00650"></a><span class="lineno">  650</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00651"></a><span class="lineno">  651</span>&#160; </div>
<div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_SPARSE_SELFADJOINTVIEW_H</span></div>
<div class="ttc" id="aclassEigen_1_1DenseCoeffsBase_3_01Derived_00_01DirectWriteAccessors_01_4_html_a1fbabe7f12bcbfba3b9a448b1f5e46fa"><div class="ttname"><a href="classEigen_1_1DenseCoeffsBase_3_01Derived_00_01DirectWriteAccessors_01_4.html#a1fbabe7f12bcbfba3b9a448b1f5e46fa">Eigen::DenseCoeffsBase&lt; Derived, DirectWriteAccessors &gt;::derived</a></div><div class="ttdeci">Derived &amp; derived()</div><div class="ttdef"><b>Definition:</b> EigenBase.h:48</div></div>
<div class="ttc" id="aclassEigen_1_1MatrixBase_html"><div class="ttname"><a href="classEigen_1_1MatrixBase.html">Eigen::MatrixBase</a></div><div class="ttdoc">Base class for all dense matrices, vectors, and expressions.</div><div class="ttdef"><b>Definition:</b> MatrixBase.h:52</div></div>
<div class="ttc" id="aclassEigen_1_1Matrix_html"><div class="ttname"><a href="classEigen_1_1Matrix.html">Eigen::Matrix&lt; StorageIndex, Dynamic, 1 &gt;</a></div></div>
<div class="ttc" id="aclassEigen_1_1PermutationMatrix_html"><div class="ttname"><a href="classEigen_1_1PermutationMatrix.html">Eigen::PermutationMatrix&lt; Dynamic, Dynamic, StorageIndex &gt;</a></div></div>
<div class="ttc" id="aclassEigen_1_1Product_html"><div class="ttname"><a href="classEigen_1_1Product.html">Eigen::Product</a></div><div class="ttdoc">Expression of the product of two arbitrary matrices or vectors.</div><div class="ttdef"><b>Definition:</b> Product.h:77</div></div>
<div class="ttc" id="aclassEigen_1_1SparseMatrixBase_html"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html">Eigen::SparseMatrixBase</a></div><div class="ttdoc">Base class of any sparse matrices or sparse expressions.</div><div class="ttdef"><b>Definition:</b> SparseMatrixBase.h:30</div></div>
<div class="ttc" id="aclassEigen_1_1SparseSelfAdjointView_html"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html">Eigen::SparseSelfAdjointView</a></div><div class="ttdoc">Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix.</div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:47</div></div>
<div class="ttc" id="aclassEigen_1_1SparseSelfAdjointView_html_a21a771d5074900136c92f62ab179bc5e"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a21a771d5074900136c92f62ab179bc5e">Eigen::SparseSelfAdjointView::operator*</a></div><div class="ttdeci">Product&lt; SparseSelfAdjointView, OtherDerived &gt; operator*(const SparseMatrixBase&lt; OtherDerived &gt; &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:83</div></div>
<div class="ttc" id="aclassEigen_1_1SparseSelfAdjointView_html_a346ad7b3c5c8769c0fe29ae9e921b429"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a346ad7b3c5c8769c0fe29ae9e921b429">Eigen::SparseSelfAdjointView::operator*</a></div><div class="ttdeci">friend Product&lt; OtherDerived, SparseSelfAdjointView &gt; operator*(const MatrixBase&lt; OtherDerived &gt; &amp;lhs, const SparseSelfAdjointView &amp;rhs)</div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:111</div></div>
<div class="ttc" id="aclassEigen_1_1SparseSelfAdjointView_html_a843bdc3844b4b9f5bc2daa84520d7bb7"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a843bdc3844b4b9f5bc2daa84520d7bb7">Eigen::SparseSelfAdjointView::rankUpdate</a></div><div class="ttdeci">SparseSelfAdjointView &amp; rankUpdate(const SparseMatrixBase&lt; DerivedU &gt; &amp;u, const Scalar &amp;alpha=Scalar(1))</div></div>
<div class="ttc" id="aclassEigen_1_1SparseSelfAdjointView_html_a9bbe41a5c050f8067d4fe77372eb0b7a"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a9bbe41a5c050f8067d4fe77372eb0b7a">Eigen::SparseSelfAdjointView::operator*</a></div><div class="ttdeci">friend Product&lt; OtherDerived, SparseSelfAdjointView &gt; operator*(const SparseMatrixBase&lt; OtherDerived &gt; &amp;lhs, const SparseSelfAdjointView &amp;rhs)</div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:95</div></div>
<div class="ttc" id="aclassEigen_1_1SparseSelfAdjointView_html_ac37727df4143754952272c64d081925f"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#ac37727df4143754952272c64d081925f">Eigen::SparseSelfAdjointView::twistedBy</a></div><div class="ttdeci">SparseSymmetricPermutationProduct&lt; MatrixTypeNested_, Mode &gt; twistedBy(const PermutationMatrix&lt; Dynamic, Dynamic, StorageIndex &gt; &amp;perm) const</div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:129</div></div>
<div class="ttc" id="aclassEigen_1_1SparseSelfAdjointView_html_af5745a6fe741b0a2091c02fa0779065d"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#af5745a6fe741b0a2091c02fa0779065d">Eigen::SparseSelfAdjointView::operator*</a></div><div class="ttdeci">Product&lt; SparseSelfAdjointView, OtherDerived &gt; operator*(const MatrixBase&lt; OtherDerived &gt; &amp;rhs) const</div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:103</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Eigen::Lower</a></div><div class="ttdeci">@ Lower</div><div class="ttdef"><b>Definition:</b> Constants.h:211</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Eigen::Upper</a></div><div class="ttdeci">@ Upper</div><div class="ttdef"><b>Definition:</b> Constants.h:213</div></div>
<div class="ttc" id="agroup__enums_html_ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62"><div class="ttname"><a href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">Eigen::ColMajor</a></div><div class="ttdeci">@ ColMajor</div><div class="ttdef"><b>Definition:</b> Constants.h:321</div></div>
<div class="ttc" id="agroup__enums_html_ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f"><div class="ttname"><a href="group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">Eigen::RowMajor</a></div><div class="ttdeci">@ RowMajor</div><div class="ttdef"><b>Definition:</b> Constants.h:323</div></div>
<div class="ttc" id="agroup__flags_html_gae4f56c2a60bbe4bd2e44c5b19cbe8762"><div class="ttname"><a href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">Eigen::RowMajorBit</a></div><div class="ttdeci">const unsigned int RowMajorBit</div><div class="ttdef"><b>Definition:</b> Constants.h:68</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div><div class="ttdef"><b>Definition:</b> Core:139</div></div>
<div class="ttc" id="anamespaceEigen_html_a62e77e0933482dafde8fe197d9a2cfde"><div class="ttname"><a href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Eigen::Index</a></div><div class="ttdeci">EIGEN_DEFAULT_DENSE_INDEX_TYPE Index</div><div class="ttdoc">The Index type as used for the API.</div><div class="ttdef"><b>Definition:</b> Meta.h:59</div></div>
<div class="ttc" id="astructEigen_1_1EigenBase_html"><div class="ttname"><a href="structEigen_1_1EigenBase.html">Eigen::EigenBase</a></div><div class="ttdef"><b>Definition:</b> EigenBase.h:32</div></div>
<div class="ttc" id="astructEigen_1_1EigenBase_html_a1fbabe7f12bcbfba3b9a448b1f5e46fa"><div class="ttname"><a href="structEigen_1_1EigenBase.html#a1fbabe7f12bcbfba3b9a448b1f5e46fa">Eigen::EigenBase::derived</a></div><div class="ttdeci">Derived &amp; derived()</div><div class="ttdef"><b>Definition:</b> EigenBase.h:48</div></div>
<div class="ttc" id="astructEigen_1_1EigenBase_html_a554f30542cc2316add4b1ea0a492ff02"><div class="ttname"><a href="structEigen_1_1EigenBase.html#a554f30542cc2316add4b1ea0a492ff02">Eigen::EigenBase&lt; SparseSelfAdjointView&lt; MatrixType, Mode_ &gt; &gt;::Index</a></div><div class="ttdeci">Eigen::Index Index</div><div class="ttdoc">The interface type of indices.</div><div class="ttdef"><b>Definition:</b> EigenBase.h:41</div></div>
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